Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images.

Journal: American journal of ophthalmology
PMID: 32707207

Abstract

PURPOSE: Subretinal injections of therapeutics are commonly used to treat ocular diseases. Accurate dosing of therapeutics at target locations is crucial but difficult to achieve using subretinal injections due to leakage, and there is no method available to measure the volume of therapeutics successfully administered to the subretinal location during surgery. Here, we introduce the first automatic method for quantifying the volume of subretinal blebs, using porcine eyes injected with Ringer's lactate solution as samples.

Authors

  • Zhenxi Song
    School of Electrical and Information Engineering, Tianjin University, Tianjin, China; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
  • Liangyu Xu
    Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
  • Jiang Wang
    School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, People's Republic of China.
  • Reza Rasti
  • Ananth Sastry
    Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina, USA.
  • Jianwei D Li
    Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
  • William Raynor
    Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina, USA.
  • Joseph A Izatt
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Cynthia A Toth
    Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina, USA.
  • Lejla Vajzovic
  • Bin Deng
    School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, People's Republic of China.
  • Sina Farsiu
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.

Keywords

External Resources

Popular Topics
Recent Journals